Triple

T13162777
Position Surface form Disambiguated ID Type / Status
Subject Autumn Reeser E312767 entity
Predicate familyName P18 FINISHED
Object Reeser
Reeser is a surname most notably associated with American actress Autumn Reeser, known for her roles in television and film.
 E1024102 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Reeser | Statement: [Autumn Reeser, familyName, Reeser]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Reeser
Context triple: [Autumn Reeser, familyName, Reeser]
  • A. Rennie
    Rennie is a Scottish surname most notably associated with the family of civil engineers, including John Rennie the Younger.
  • B. Keefer
    Keefer was a distinguished racing greyhound renowned for its achievements on the track, earning induction into the Greyhound Hall of Fame.
  • C. Mitch McDeere
    Mitch McDeere is an ambitious young Harvard-educated lawyer who becomes entangled in a corrupt law firm’s criminal activities in John Grisham’s legal thriller "The Firm."
  • D. Alex Datcher
    Alex Datcher is an American actress best known for her role as a flight attendant alongside Wesley Snipes in the 1992 action film "Passenger 57."
  • E. Barrett Deems
    Barrett Deems was an American jazz drummer best known for his high-energy playing and for performing with Louis Armstrong’s All-Stars in the 1950s.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Reeser
Triple: [Autumn Reeser, familyName, Reeser]
Generated description
Reeser is a surname most notably associated with American actress Autumn Reeser, known for her roles in television and film.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Reeser
Target entity description: Reeser is a surname most notably associated with American actress Autumn Reeser, known for her roles in television and film.
  • A. Rennie
    Rennie is a Scottish surname most notably associated with the family of civil engineers, including John Rennie the Younger.
  • B. Keefer
    Keefer was a distinguished racing greyhound renowned for its achievements on the track, earning induction into the Greyhound Hall of Fame.
  • C. Mitch McDeere
    Mitch McDeere is an ambitious young Harvard-educated lawyer who becomes entangled in a corrupt law firm’s criminal activities in John Grisham’s legal thriller "The Firm."
  • D. Alex Datcher
    Alex Datcher is an American actress best known for her role as a flight attendant alongside Wesley Snipes in the 1992 action film "Passenger 57."
  • E. Barrett Deems
    Barrett Deems was an American jazz drummer best known for his high-energy playing and for performing with Louis Armstrong’s All-Stars in the 1950s.
  • F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d806ac3ee081909b2fd27d060aa974 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98c0a9d348190909fcf45f9d650e4 completed April 10, 2026, 11:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6eaf4cd788190b74cca51b5219bfb completed May 3, 2026, 6:28 a.m.
NEDg Description generation batch_69f6eeefa9a08190b042212f24735ca7 completed May 3, 2026, 6:45 a.m.
NED2 Entity disambiguation (via description) batch_69f6ef933f888190880e680f7f4c1c29 completed May 3, 2026, 6:47 a.m.
Created at: April 9, 2026, 9:12 p.m.